The Journal of Society for e-Business Studies (한국전자거래학회지)

Society for e-Business Studies (한국전자거래학회)
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The Effect of Personal Characteristics and User Involvement on Knowledge Sharing in the Knowledge-Exchange Website Context

지식교환 웹사이트에서 개인특성과 사용자 관여가 지식공유행위에 미치는 영향

  • 성기문 (서울대학교 경영대학) ;
  • 김태경 (서울대학교 경영대학) ;
  • 장정주 (서울대학교 경영대학 및 경영전문대학원) ;
  • 안중호 (서울대학교 경영대학 및 경영전문대학원)
  • Published : 2009.11.30
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Abstract

The effect of knowledge sharing and its importance have been reported in the information systems literature. However, little has been learned about the impact of knowledgeexchange web sites. This study explores relationships between individual characteristics such as personal innovativeness in the domain of information technology (PIIT), computer selfefficacy (CSE), and computer anxiety (CA), user involvement (UI), and knowledge sharing in a knowledge.exchange website. In order to examine our research model, we adopted a survey research design based on the Structural Equation Modeling method. By analyzing 241 samples collected, we conclude that UI and CA are valuable to discuss in terms of their theoretical and practical implications. This study not only extends the research on personal innovativeness and knowledge sharing, but also suggests a need for focused research efforts to investigate real practices on knowledge sharing. This study initiates this kind of efforts to make a relevant tie between design of knowledge sharing applications and the success case in the commercial field to encourage users to share their knowledge.

지식공유의 효과와 지식공유의 중요성 때문에 MIS 분야에는 지식공유연구에 대한 관심이 높아지고 있으나, 지식교환 웹사이트에서의 지식공유의 영향과 관련한 연구는 많지 않다. 본 연구는 지식교환 웹사이트에서 개인특성변수인 정보기술에 대한 개인의 혁신성, 컴퓨터 자기효능감, 컴퓨터 불안감 및 사용자 관여와 지식공유행위간의 관계를 밝히고자 한다. 연구자들은 지식교환 웹사이트 내에서 지식공유경험이 있는 사용자들을 대상으로 설문조사를 실시하여 유효표본 총 241개를 수집하였다. 또한 연구모형 검증을 위해 연구분석방법으로 구조방정식모형(SEM)을 통해 자료를 분석하였다. 자료분석 결과 지식공유행위는 개인의 혁신성, 컴퓨터 자기효능감, 컴퓨터 불안감 및 사용자 관여에 의해 직간접적으로 영향을 받는 것으로 확인되었다. 본 연구는 개인의 혁신성과 지식공유에 대한 연구의 영역을 확장했을 뿐만 아니라, 정보공유에 대한 실질적인 사례를 대상으로 한 연구를 통해 지식공유를 촉진하는 지식공유 애플리케이션의 설계와 지식교환 웹 사이트의 성공간의 관련성을 밝히고자 하였다.

Keywords

References

  1. 성기문, 신지나, 안중호, "홈네트워크환경에서 개인적 특성과 지각된 상호작용성이 서비스만족, 태도, 사용의도에 미치는 영향：몰입이론을 중심으로", 전자거래학회지, 제14권, 제2호, 2009, pp. 71-94.
  2. Agarwal, R. and Prasad, J., "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, Vol. 9, No. 2, 1998, pp. 204-215. https://doi.org/10.1287/isre.9.2.204
  3. Agarwal, R., Sambamurthy, V., and Stair, R. M., "The Evolving Relationship between General and Specific Computer Self-Efficacy：An Empirical Assessment," Information Systems Research, Vol. 11, No. 4, 2000, pp. 418-430. https://doi.org/10.1287/isre.11.4.418.11876
  4. Anderson, A. A., "Predictors of Computer Anxiety and Performance in Information Systems," Computers in Human Behavior," Vol. 12, No. 1, 1996, pp. 61-77. https://doi.org/10.1016/0747-5632(95)00019-4
  5. Anderson, J. C. and Gerbing, D. W., "Structural Equation Modeling in Practice： A Review and Recommended Two-Step Approach," Psychological Bulletin, Vol. 103, No. 3, 1988, pp. 411-423. https://doi.org/10.1037/0033-2909.103.3.411
  6. Ardichvili, A., "Learning and Knowledge Sharing in Virtual Communities of Practice：Motivators, Barriers, and Enablers," Advances in Developing Human Resources, Vol. 10, No. 4, 2008, pp. 541-554. https://doi.org/10.1177/1523422308319536
  7. Bagozzi, R. P. and Yi, Y., "On the Evaluation of Structural Equation Models," Journal of the Academy of Marketing Science, Vol. 16, No. 1, 1988, pp. 74-94. https://doi.org/10.1007/BF02723327
  8. Bandura, A., Self-Efficacy：The Exercise of Control, Freeman, 1997.
  9. Barbeite, F. and Weiss, E., "Computer Self-Efficacy and Anxiety Scales for an Internet Sample：Testing Measurement Equivalence of Existing Measures and Development of New Scales," Computers in Human Behavior, Vol. 20, 2004, pp. 1-15. https://doi.org/10.1016/S0747-5632(03)00049-9
  10. Barki, H. and Hartwick, J., "Rethinking the Concept of User Involvement," MIS Quarterly Vol. 13, No. 1, 1989, pp. 53-64. https://doi.org/10.2307/248700
  11. Barki, H. and Hartwick, J., "Measuring User Participation, User Involvement, and User Attitude," MIS Quarterly, Vol. 18, No. 1, 1994, pp. 59-82. https://doi.org/10.2307/249610
  12. Blili, S., Raymond, L., and Rivard, S., "Impact of Task Uncertainty, End-user Involvement, and Competence on the Success of End-user Computing," Information and Management, Vol. 33, 1998, pp. 137-153. https://doi.org/10.1016/S0378-7206(97)00043-8
  13. Compeau, D. R. and Higgins, C. A., "Computer Self-Efficacy：Development of a Measure and Initial Test," MIS Quarterly, Vol. 19, 1995, pp. 189-211. https://doi.org/10.2307/249688
  14. Darroch, J. and McNaughton, R., "Examining the link between knowledge management practices and type of innovation," Journal of Intellectual Capital, Vol. 13, No. 3, 2002, pp. 210-222.
  15. Davenport, T. H. and Prusak, L., Working Knowledge：How Organizations Manage What They Know, Harvard Business School Press, 1998.
  16. Dyer, J. and Nobeoka, K., "Creating and managing a high performance Knowledge- sharing network：the Toyota case," Strategic Management Journal. Vol. 21, No. 3, 2000, pp. 345-367. https://doi.org/10.1002/(SICI)1097-0266(200003)21:3<345::AID-SMJ96>3.0.CO;2-N
  17. Falk, R. F. and Miller, N. B., A Primer for Soft Modeling, University of Akron Press, Akron Ohio, 1992.
  18. Fornell, C. and Larcker, D. F., "Evaluating Structural Equation Models with Unobservable Variables and Measurement Error," Journal of Marketing Research, Vol. 18, No. 1, 1981, pp. 39-50. https://doi.org/10.2307/3151312
  19. Gos, M. W., "Computer Anxiety and Computer Experience：A New Look at an Old Relationship," The Clearing House, Vol. 69, No. 5, 1996, pp. 271-276. https://doi.org/10.1080/00098655.1996.10114315
  20. Hooff, B. and Weenen, F., "Committed to Share：Commitment and CMC Use as Antecedents of Knowledge Sharing," Knowledge and Process Management, Vol. 11, No. 1, 2004, pp. 13-24. https://doi.org/10.1002/kpm.187
  21. Hurt, H. T., Joseph, K., and Cooed, C. D., "Scales for the Measurement of Innovativeness," Human Comm. Res., Vol. 4, 1977, pp. 58-65. https://doi.org/10.1111/j.1468-2958.1977.tb00597.x
  22. Igbaria, M. and Parasuraman, J., "A Path Analytic Study of Individual Characteristics, Computer Anxiety and Attitudes Toward Computers," Journal of Management, Vol. 15, No. 3, 1989, pp. 373-388. https://doi.org/10.1177/014920638901500302
  23. Ives, B. and Olson, M. H., "User Involvement and MIS Success：A Review of Research," Management Science, Vol. 30, No. 5, 1984, pp. 586-603. https://doi.org/10.1287/mnsc.30.5.586
  24. Keeler, C. M. and Anson, R., "An Assessment of Cooperative Learning Used for Basic Computer Skills Instruction in the College Classroom," Journal of Educational Computing Research, Vol. 12, No. 4, 1995, pp, 379-393. https://doi.org/10.2190/1E43-Y7G4-PXRV-KHDC
  25. Kegerreis, R. J., Engel, J. F., and Blackwell, R. D. Innovativeness and Diffusiveness： A Marketing View of the Characteristics of Early Adopters, In D. Kollat, R. Blackwell and J. Engels (Eds), Research in Consumer Behavior, Rineholt, and Winston, 1970.
  26. Larsen, T. and Sorebo, O., "Impact of Personal Innovativeness on the Use of the Internet among Employees at Work," Journal of Organizational and End User Computing, Vol. 17, No. 2, 2005, pp. 43-63. https://doi.org/10.4018/joeuc.2005040103
  27. Lave, J. and Wenger, E., Situated Learning： Leate Peripheral Participation, Cambridge University Press, 1991.
  28. Lewis, W., Agarwal, R., and, Sambamurthy, V., "Sources of influence on beliefs about information technology use：an empirical study of knowledge workers," MIS Quarterly, Vol. 27, No. 4, 2003, pp. 657-679. https://doi.org/10.2307/30036552
  29. Lu, J., Yao, J. E., and Yu, C., "Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology," Journal of Strategic Information Systems, Vol. 14, 2005, pp. 245-268. https://doi.org/10.1016/j.jsis.2005.07.003
  30. Lu, J., Yu, C. S., Liu, C., and Yao, J., "Technology acceptance model for wireless Internet," Journal of Internet Research, Vol. 13, No. 2, 2003, pp. 206-22. https://doi.org/10.1108/10662240310478222
  31. MacCallum, R. C., Brown, M. W. and Sugawara, H. M., "Power analysis and determination of sample size for convenience structural modeling," Psychological Methods, Vol. 1, 1996, pp. 130-49. https://doi.org/10.1037/1082-989X.1.2.130
  32. Mardia, K. V., "Measures of Multivariate Skewness and Kurtosis with Applications," Biometrika, Vol. 57, 1970, pp. 519-530. https://doi.org/10.1093/biomet/57.3.519
  33. Maurer, M. M., "Computer Anxiety Correlates and What They Tell Us：A Literature Review," Computers in Human Behavior, Vol. 3, 1994., pp. 369-376
  34. Rijt, Van der PGA. Precious Knowledge, Amsterdam, The Amsterdam School of Communications Research, 2002.
  35. Saris, W. E. and Satorra, A., Power Evaluation in Structural Equation Models, In K. A. Bollen and J. S. Long (Eds.), Testing Structural Equation Models, Sage. 1993.
  36. Sorebo, O. and Eikebrokk, T. R., "Explaining IS continuance in environments where usage is mandatory," Computers in Human Behavior, Vol. 24, No. 5, 2008, pp. 2357-2371. https://doi.org/10.1016/j.chb.2008.02.011
  37. Spielberger, C. D., Current Trends in Theory and Research in Anxiety, In C. D. Spielberger (Ed.), Anxiety：Current Trends in Theory and Research, Academic Press, 1972, pp. 2-33.
  38. Srite, M., Galvin, J. E., Ahuja, M. K., and Karahanna, E., "Effects of Individuals' Psychological States on Their Satisfaction with the GSS Process," Information and Management, Vol. 44, 2007, pp. 535-546. https://doi.org/10.1016/j.im.2007.04.005
  39. Tabachnick, B. G. and L. S. Fidell, Using Multivariate Statistics (3rd Eds.), Harper Collins, 1996.
  40. Thatcher, J. B. and Perrewé, P. L., "An Empirical Examination of Individual Traits as Antecedents to Computer Anxiety and Computer Self-Efficacy," MIS Quarterly, Vol. 26, No. 4, 2002, pp. 381-396. https://doi.org/10.2307/4132314
  41. Uray, N. and Ayla, D., "Identifying Fashion Clothing Innovators by Self-Report Method," Journal of Euro-Marketing, Vol. 6, No. 3, 1997, pp. 27-46.
  42. Venkatramen, P. M., "The Impact of Innovativeness and Innovation Type and Adoption," Journal of Retailing, Vol. 67, No. 1, 1991, pp. 51-67.
  43. Von Wartburg, I., Rost, K., and Teichert, T., "The Creation of Social and Intellectual Capital in Virtual Communities of Practice：Shaping Social Structure in Virtual Communities of Practice," International Journal of Learning and Changing, Vol. 1, No. 3, 2006, pp. 299-316. https://doi.org/10.1504/IJLC.2006.010972
  44. Weenen, De Leeuw van, Commitment, knowledge sharing and the use of CMC：The relationship between three aspects in theory and practice, MA thesis, Amsterdam：University of Amsterdam, Department of Communication, 2002.
  45. Weil, M. M., Rosen, L. D., and Sears, D. C., "The Computerphobia Reduction Program：Year 1 Program Development and Preliminary Results," Behavioral Research Methods, Instruments, and Computers, Vol. 19, No. 2, 1987, pp. 180-184. https://doi.org/10.3758/BF03203782
  46. Willem, A. and Buelens, M., "Knowledge Sharing in Public Sector Organizations： The Effect of Organizational Characteristics on Interdepartmental Knowledge Sharing," Journal of Public Administration Research and Theory, Vol. 17, 2007, pp. 581-606. https://doi.org/10.1093/jopart/mul021
  47. Yoo, Y., Lyytinen, K., and Heo, D., "Closing the gap：Towards a Process Model of Post-merger Knowledge Sharing," Information Systems Journal, Vol. 17, 2007, pp. 321-347. https://doi.org/10.1111/j.1365-2575.2007.00248.x